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Field
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must have the following essential skills: Strong background in plant breeding and genetics Strong computer skills and proficiency in R or other programming languages Outstanding interpersonal and
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in: Udder health and animal welfare Digital learning and employee education Big data and tech in agriculture Bilingual communication (English & Spanish a plus) This position is available now. If you're
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experiments in the field of neuroscience, computational neuroscience and biologically plausible machine learning tools. Duties: Analyze data and developing biologically plausible machine learning frameworks
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service
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on the theoretical foundations of (Machine) Learning. These positions offer the opportunity for postdoctoral research in an intellectually vibrant, inclusive, and welcoming department. Selected candidates
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of virtual reality for research related to human ambulation, balance and gait analysis. The candidate must have prior research experience with virtual reality, computer graphics and animation, gaze detection
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The Institute for Complex Social Dynamics (ICSD) and the Machine Learning Department at Carnegie Mellon University are seeking a talented and motivated postdoctoral researcher for a joint position